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alterlab-sympy

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Master symbolic math in Python with SymPy.

Education & Research#python#calculus#matrices#algebra#symbolic#sympy
AuthorAlterLab-IEU
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Symbolic mathematics in Python becomes reliable and exact using SymPy, enabling algebraic manipulation, calculus, and geometry without numerical approximations.

Core Features & Use Cases

  • Symbolic computation basics: variables, expressions, substitution, and simplification.
  • Calculus: derivatives, integrals, limits, and series.
  • Matrices and linear algebra: symbolic matrices, eigenvalues, diagonalization, and systems of equations.
  • Physics, number theory, and geometry: exact problem solving and code generation from expressions.

Quick Start

Install SymPy and run a basic symbolic example to solve for x.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: alterlab-sympy
Download link: https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/archive/main.zip#alterlab-sympy

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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